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DBMS > EventStoreDB vs. Heroic vs. SQream DB vs. Trino

System Properties Comparison EventStoreDB vs. Heroic vs. SQream DB vs. Trino

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonHeroic  Xexclude from comparisonSQream DB  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearcha GPU-based, columnar RDBMS for big data analytics workloadsFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelEvent StoreTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score4.99
Rank#65  Overall
#36  Relational DBMS
Websitewww.eventstore.comgithub.com/­spotify/­heroicsqream.comtrino.io
Technical documentationdevelopers.eventstore.comspotify.github.io/­heroicdocs.sqream.comtrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperEvent Store LimitedSpotifySQream TechnologiesTrino Software Foundation
Initial release2012201420172012 info2020 rebranded from PrestoSQL
Current release21.2, February 20212022.1.6, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageJavaC++, CUDA, Haskell, Java, ScalaJava
Server operating systemsLinux
Windows
LinuxLinux
macOS infofor devlopment
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyes infovia Elasticsearchnodepending on connected data-source
SQL infoSupport of SQLnoyesyes
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
.Net
JDBC
ODBC
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functions in Pythonyes, depending on connected data-source
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioningdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlSQL standard access control
More information provided by the system vendor
EventStoreDBHeroicSQream DBTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
EventStoreDBHeroicSQream DBTrino
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